The position is funded by the Andrew W. Mellon Foundation to support the development of open-source technology for AI methods in visual culture
Job Summary
The position is funded by the Andrew W. Mellon Foundation to support the development of open-source technology for AI methods in visual culture.
Primary responsibilities include creating multimedia Open Educational Resources, facilitating workshops, and curating diverse visual collections for the DV Data platform.
The successful candidate will have the opportunity to teach up to one course per semester and travel to international conferences.
Matching Summary
The position is funded by the Andrew W. Mellon Foundation to support the development of open-source technology for AI methods in visual culture.
Salary
Not specified; Not specified; Not specified
Skills & Requirements
Must-have
Ph.D. required by appointment time
Computational approaches to visual materials
Open-source software development experience
Educational resource creation skills
Multimedia Open Educational Resources (OER) creation
Nice-to-have
Community-engaged scholarship with libraries
Experience with archives and museums
International conference travel availability
Teaching experience in data science
Background in digital humanities or media studies
Key Requirements
Ph.D. in any field required by time of appointment
Application via online portal at jobs.richmond.edu